Self-Supervised Pretext Tasks for Infant Cry Analysis: A Controlled Comparison and a Cautionary Result on Donateacry
cs.LG
Submitted: 2026-08-31
Updated: 2026-08-31
Code: https://github.com/PhysicsInforMe/infant-cry-ssl
Terminology
Sources
- Neural Transfer Learning for Cry-based Diagnosis of Perinatal Asphyxia
- Self-supervised learning for infant cry analysis
- PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition
- CryCeleb: A Speaker Verification Dataset Based on Infant Cry Sounds
- Leakage and the Reproducibility Crisis in ML-based Science
- A Simple Framework for Contrastive Learning of Visual Representations
- SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
- Exploring Simple Siamese Representation Learning
- BYOL for Audio: Self-Supervised Learning for General-Purpose Audio Representation
- Masked Autoencoders Are Scalable Vision Learners
- Masked Autoencoders that Listen
- wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations
- HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units
- FSD50K: An Open Dataset of Human-Labeled Sound Events
- Vocalsound: A Dataset for Improving Human Vocal Sounds Recognition
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